IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!)

Citations for "Jointness of Growth Determinants"

by Gernot Doppelhofer & Melvyn Weeks

For a complete description of this item, click here. For a RSS feed for citations of this item, click here.
as in new window

  1. Eduardo Ley & Mark F.J. Steel, 2009. "On the effect of prior assumptions in Bayesian model averaging with applications to growth regression This article was published online on 30 March 2009. An error was subsequently identified. This not," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 651-674.
  2. Roberto Leon-Gonzalez & Daniel Montolio, 2015. "Endogeneity and Panel Data in Growth Regressions: A Bayesian Model Averaging Approach," GRIPS Discussion Papers 15-16, National Graduate Institute for Policy Studies.
  3. Ravazzolo, F. & van Dijk, D.J.C. & Paap, R. & Franses, Ph.H.B.F., 2006. "Bayesian Model Averaging in the Presence of Structural Breaks," Econometric Institute Research Papers EI 2006-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  4. Ouattara, Bazoumana & Amegashie, J. Atsu & Strobl, Eric, 2009. "Moral Hazard and the Composition of Transfers: Theory with an Application to Foreign Aid," Proceedings of the German Development Economics Conference, Frankfurt a.M. 2009 24, Verein für Socialpolitik, Research Committee Development Economics.
  5. Scharnagl, Michael & Schumacher, Christian, 2007. "Reconsidering the role of monetary indicators for euro area inflation from a Bayesian perspective using group inclusion probabilities," Discussion Paper Series 1: Economic Studies 2007,09, Deutsche Bundesbank, Research Centre.
  6. Doppelhofer, G. & Weeks, M., 2011. "Robust Growth Determinants," Cambridge Working Papers in Economics 1117, Faculty of Economics, University of Cambridge.
  7. Jesus Crespo Cuaresma & Tomas Slacik, . "On the determinants of currency crises: The role of model uncertainty," Working Papers 2008-03, Faculty of Economics and Statistics, University of Innsbruck.
  8. Ley, Eduardo & Steel, Mark F.J., 2007. "Jointness in Bayesian variable selection with applications to growth regression," Journal of Macroeconomics, Elsevier, vol. 29(3), pages 476-493, September.
  9. Moral-Benito, Enrique, 2010. "Model averaging in economics," MPRA Paper 26047, University Library of Munich, Germany.
  10. Doppelhofer, G. & Weeks, M., 2005. "Jointness of Growth Determinants," Cambridge Working Papers in Economics 0542, Faculty of Economics, University of Cambridge.
  11. Crespo Cuaresma, Jesus & Grün, Bettina & Hofmarcher, Paul & Humer, Stefan & Moser, Mathias, 2016. "Unveiling covariate inclusion structures in economic growth regressions using latent class analysis," European Economic Review, Elsevier, vol. 81(C), pages 189-202.
  12. Jesus Crespo-Cuaresma & Gernot Doppelhofer & Martin Feldkircher, 2009. "The Determinants of Economic Growth in European Regions," wiiw Working Papers 57, The Vienna Institute for International Economic Studies, wiiw.
  13. Vittorio Daniele, 2008. "Bureaucratic Delays and Constraints on Growth," QA - Rivista dell'Associazione Rossi-Doria, Associazione Rossi Doria, issue 3, July.
  14. Ley, Eduardo & Steel, Mark F. J., 2007. "On the effect of prior assumptions in Bayesian model averaging with applications to growth regression," Policy Research Working Paper Series 4238, The World Bank.
  15. Theo S. Eicher & Alex Lenkoski & Adrian Raftery, 2009. "Bayesian Model Averaging and Endogeneity Under Model Uncertainty: An Application to Development Determinants," Working Papers UWEC-2009-19-FC, University of Washington, Department of Economics.
  16. Vanina Forget, 2012. "Doing well and doing good: a multi-dimensional puzzle," Working Papers hal-00672037, HAL.
  17. Shahram Amini & Christopher F. Parmeter, 2011. "Bayesian Model Averaging in R," Working Papers 2011-9, University of Miami, Department of Economics.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.